rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neural Network Data Analysis Using SimulnetTM
  name:
    name part: Rzempoluck, Edward J.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (viii, 226 pages)
  abstract: This book and sofwtare package provide a complement to the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural networks. Neural network functions discussed include multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing feature maps. In an easy-to-use, Windows-based environment it offers a wide range of data analytic tools which are not usually found together: these include genetic algorithms, probabilistic networks, as well as a number of related techniques that support these - notably, fractal dimension analysis, coherence analysis, and mutual information analysis. The text presents a number of worked examples and case studies using Simulnet, the software package which comes with the book. Readers are assumed to have a basic understanding of computers and elementary mathematics. With this background, a reader will find themselves quickly conducting sophisticated hands-on analyses of data sets.
  table of contents: Introduction -- The Simulnet desktop. Data Analysis. Acquiring and conditioning network data -- A Data Analysis Protocol -- Glossary.
  note: by Edward J. Rzempoluck.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Statistics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer science
  subject:
    topic: Statistics
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  identifier: 9781461217466 (electronic bk.)
  identifier: 1461217466 (electronic bk.)
  identifier: 9781461272625
  identifier: 1461272629
  identifier: 1461217466
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422170816.1
    record identifier: in00003563420
    language of cataloging:
      language term: eng